Next Article in Journal
A Study of Erosion–Corrosion Behaviour of Friction Stir-Processed Chromium-Reinforced NiAl Bronze Composite
Previous Article in Journal
Enhanced PTC Effect in Polyamide/Carbon Black Composites
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Inhibition Effect and Mechanism Explanation of Perilla Seed Extract as a Green Corrosion Inhibitor on Q235 Carbon Steel

1
College of Water Conservancy and Hydropower, Hohai University, Nanjing 210098, China
2
School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430079, China
*
Authors to whom correspondence should be addressed.
Materials 2022, 15(15), 5394; https://doi.org/10.3390/ma15155394
Submission received: 27 June 2022 / Revised: 21 July 2022 / Accepted: 3 August 2022 / Published: 5 August 2022
(This article belongs to the Section Materials Chemistry)

Abstract

:
The development of environmentally friendly corrosion inhibitors has become a research hotspot. Aiming at the potential corrosion inhibition effect of perilla seed extract on Q235 carbon steel, the corrosion inhibition effect was quantitatively evaluated by various research methods, and the effective corrosion inhibition composition and mechanism were discussed. The research methods include potentiodynamic polarization curve method, HPLC-MS, FT-IR, XPS and chemical calculation. The experimental results show that the inhibitor prepared from perilla seed extract is a mixed inhibitor, and its adsorption behavior accords with Langmuir adsorption theory and its adsorption free energy is −22.70 kJ/mol. Combined with the experimental results and theoretical calculation, the effective corrosion inhibiting components are luteolin and apigenin. Theoretical calculation shows that both of them are adsorbed parallel to the surface of carbon steel to form thin films. The adsorption mechanism is that carbonyl O atoms in luteolin and apigenin hybridize with the 3 d empty orbit of Fe. From the point of view of quantum chemistry, the smaller the HOMO value and the energy gap value, the better the adsorption of corrosion inhibitor on the surface of carbon steel. From the point of view of molecular dynamics simulation, the greater the absolute value of adsorption energy, the better the adsorption of corrosion inhibitor on carbon steel surface.

1. Introduction

At present, reinforced concrete and steel fiber concrete have been widely used in the construction of various coastal infrastructures, such as sea-crossing bridges, subsea tunnels, underground rail transit, ports and so on [1,2]. These infrastructures are exposed to the penetration and diffusion of corrosive ions in seawater or groundwater during service [3,4]. As a result, the passive film of the steel bars or steel fibers in the concrete is locally damaged, and various iron oxides are generated, which can cause local corrosion and expansion, destroy the bonding of the concrete structure, reduce the service life or cause the safety failure of the building structure [5].
Corrosion inhibitors are widely used as an economical and effective means of anti-corrosion [6]. The main function of corrosion inhibitors is to inhibit the bipolar reaction of electrochemical corrosion. The specific method is that the corrosion inhibitor will react on the metal surface to form an adsorption film, thereby increasing the corrosion potential or increasing the charge transfer resistance [7], so as to achieve the effect of inhibiting or slowing down the corrosion. Therefore, a certain amount of corrosion inhibitor is often added in engineering to protect or delay the corrosion of steel bars [8].
Corrosion inhibitors can be divided into anodic, cathodic and composite types according to their mechanism of action [9]. Anodic corrosion inhibitors represented by inorganic salts such as chromate, molybdate and nitrite mainly inhibit metal corrosion by preventing or slowing down the electron loss process of the anode [10]. On the contrary, cathodic corrosion inhibitors inhibit corrosion by changing the electron-acquiring ability of the cathode, typically represented by phosphates, zincates and higher fatty acid ammonium salts [11]. The composite corrosion inhibitor has both the advantages of the above two corrosion inhibitors. This kind of corrosion inhibitor is often obtained by reasonable collocation and experimental verification of several oxidative anodic corrosion inhibitor components and cathodic corrosion inhibitor components that can generate insoluble salts [12].
In terms of chemical composition, corrosion inhibitors are mainly divided into inorganic type, organic type and composite type. The inorganic acid ions in the inorganic corrosion inhibitor and Cl form a competitive adsorption on the metal surface [13], forming a passivation film. However, the inorganic acid ion is unstable, and its content will continue to decrease during long-term service, and the local mineral acid ion concentration will be insufficient on the metal surface [14]. At this time, the inorganic acid ions will act as an oxidant to promote the dissolution of the passive film on the metal surface and accelerate the corrosion of the metal. At the same time, some inorganic acid salts contain high-valence heavy metal ions, which are toxic to a certain extent and cause certain damage to the environment and health, so their use is also restricted to a certain extent. The corrosion inhibition mechanism of organic corrosion inhibitors is mainly that functional groups containing heteroatoms such as N, O, S and other structures in organic molecules and structures such as benzene rings are adsorbed on the metal surface [15] to form an adsorption film. The corrosion inhibition efficiency has a certain relationship with the molecular configuration of the corrosion inhibitor, the hydrophilicity and hydrophobicity of the molecule and the compatibility with the metal interface. However, at present, such organic corrosion inhibitors are mainly obtained through chemical production or are obtained from by-products in the chemical production process, the production process is complicated and the economic and ecological costs are high.
At present, researchers have begun to develop green and environmentally friendly corrosion inhibitors, among which corrosion inhibitors based on plant extracts [16,17] have great potential application value. The plants with certain corrosion inhibition effect reported by academic circles include poppy [17], garlic [18], pepper [19], tea [20], orange peel [21], ragweed [22], mint [23], etc. There are still some deficiencies in the research on green and environmentally friendly plant extract corrosion inhibitors. Most studies pay less attention to the protection of green corrosion inhibitors against metal corrosion in alkaline environments, and only a few studies can clearly point out the effective corrosion inhibitor components, molecular structures and corrosion inhibition mechanisms in plant extract corrosion inhibitors.
In this paper, the corrosion inhibition effect of perilla seed extract on Q235 carbon steel in simulated pore liquid of concrete was studied. Q235 carbon steel is an alloy with iron and carbon as main components. It is widely used in ordinary concrete structures, formwork and unimportant steel frame structures. By setting different inhibitor concentrations, the potentiodynamic polarization curve method was used to quantitatively evaluate the corrosion inhibition efficiency. Combined with micro-characterization methods such as HPLC-MS, ATR-FTIR and XPS, the effective corrosion inhibitor components were determined. Through theoretical calculation, the adsorption characteristics and microscopic mechanism of corrosion inhibitor components were found.

2. Materials and Methods

2.1. Chemicals and Reagents

The chemicals and reagents used in this paper were purchased from Tianjin Zhiyuan Chemical Reagent Co., Ltd. (Tianjin, China) Potassium hydroxide solution is a prepared 0.6 mol/L standard solution. The specifications of sodium hydroxide, calcium hydroxide, sodium chloride and absolute ethanol are analytically pure (≥96.5%), analytically pure (≥95.0%), analytically pure (≥99.0%) and analytically pure (≥99.0%), respectively.

2.2. Preparation of Corrosion Inhibitor Solution and Simulated Concrete Pore Solution

The simulated concrete pore solution adopts the ratio of 0.6 mol/L KOH, 0.2 mol/L NaOH and saturated Ca(OH)2, and 3% NaCl is added to the simulated pore liquid.
The perilla seed used in this paper is produced in Bozhou, Anhui Province, China. In this paper, the corrosion inhibitor solution is prepared by grinding mature and dried perilla seeds into powder, and then passing through a 40-mesh sieve. Accurately weigh a certain mass of perilla seed powder, dissolve it in a certain volume of concrete simulated pore fluid. Concentrations of corrosion inhibitors were 0 g/L, 1 g/L, 2 g/L, 3 g/L and 4 g/L, respectively. Soak for 24 h and shake the solution with ultrasonic wave for 10 min every 4 h. After the preparation is completed, leave the carbon steel electrode pre-film for 2 h. The definition of the corrosion inhibitor concentration is as follows:
C = M perilla   seed / V
In the formula, C is the concentration of corrosion inhibitor in g/mL, M perilla   seed is the mass of perilla seed powder accurately weighed in g and V is the volume of simulation concrete pore solution in L.

2.3. Potentiodynamic Polarization Curve Test

In the test system, the auxiliary electrode is a Pt electrode, and the reference electrode is an Ag/AgCl (saturated KCl solution) electrode. During the test, the carbon steel electrode was taken out from the corrosion inhibitor solution and placed in a three-electrode system of concrete-simulating pore solution, and the test was carried out after 30 min. The polarization range was around −1200 mV to + 200 mV, the sampling frequency was 5 Hz and the scan rate was 5 mV/s. By fitting the polarization curve, the corrosion potential Ecorr and the self-corrosion current density Icorr are obtained. The corresponding corrosion inhibition efficiency can be calculated by the following formula:
I E % = i 0 i i 0 × 100
In the formula, I E % is the corrosion inhibition efficiency and i 0 and i are the corrosion currents of the carbon steel electrode without and with corrosion inhibition treatment, respectively, in A/cm2.

2.4. Detection and Characterization Methods of Corrosion Inhibition Effect

2.4.1. HPLC-MS Test

The main chemical components in perilla seed extract were confirmed by HPLC-MS method and the instrument model for chromatographic detection was Waters 2695. Liquid chromatography conditions: C18 liquid chromatography column (250 mm × 4.6 mm i.d., 3 μm), column temperature is 30 °C. Pass the sample through a 0.22 μm filter membrane with a flow rate of 1 mL/min and an injection volume of 10 μL. Mobile phase: A is KH2PO3 ultrapure aqueous solution with pH = 2, B is acetonitrile and A:B = 95:5, gradient running time is 20 min. The detection wavelength is 280 nm. The instrument model for mass spectrometry detection is Waters ZQ2000, which uses electrospray ion source and negative ion mode scanning. The ion source temperature is 140 °C, the atomization temperature is 350 °C and the voltage is 3.5 kV.

2.4.2. ATR-FTIR Test

The FT-IR test can obtain the information of the corrosion inhibitor solution and the functional group on the surface of the working electrode. Therefore, the FT-IR test was carried out on the filtrate of perilla seed powder extracted with absolute ethanol and the surface of the working electrode pre-filmed in the corrosion inhibitor solution. The working electrode surface needs to be dried for 24 h before testing. The model of the testing instrument is Thermo Scientific Nicolet iS5 (Waltham, MA, USA), the test mode is ATR mode, the spectral resolution is 4 cm−1, the number of scans is 32 and the wave number range is 600–4000 cm−1.

2.4.3. XPS Test

XPS test can obtain information such as elements and chemical bonds on the electrode surface. Therefore, the XPS test was performed on the surface of the working electrode and the model of the testing instrument was Thermo Scientific K-Alpha. The excitation source is Al Kα rays (hv = 1486.6 eV), the pass energy of the full spectrum scan is 100 eV and the step length is 1 eV; the pass energy of the fine spectrum scan is 50 eV and the step length is 0.1 eV. The obtained XPS spectra were calibrated for the C1s peak (284.8 eV), and the fine spectra of each element were peak-fitted. The peak-fitting mainly refers to the XPS standard spectra and similar literature.

2.5. Chemistry Calculation

2.5.1. Quantum Chemical Calculation

With the help of microscopic characterization, the effective corrosion inhibitor in perilla seed was determined, the molecular model was established, the geometric structure was optimized and the single point energy was calculated. The energy values of the highest occupied orbital (HOMO), the lowest unoccupied orbital (LUMO) and the energy gap ΔE (|EHOMO−ELUMO|) of the effective corrosion inhibitor were obtained. Global parameters such as chemical potential, hardness, softness, electrophilic index and local parameters such as Fukui function are obtained based on the calculation results of frontier orbital distribution, which can be used to analyze the local reactivity and adsorption active sites of corrosion inhibitors.
In this paper, the generalized gradient approximation (GGA)-PW91 exchange correlation function of density functional theory (DFT) is used, and the basis set is set as double numerical basis set (DNP) expanded by polarization function, so as to optimize the geometric configuration of corrosion inhibitor molecules. Then, the frontier orbit distribution and local parameters are calculated at the level of DNP basis set.
The convergence criteria of geometry optimization and energy calculation are set as follows: the energy tolerance of SCF of each atom is 1 × 10−5 Ha, the maximum force tolerance is 2 × 10−3 eV·Å−1 and the maximum displacement tolerance is 5 × 10−3 Å. The maximum SCF cycle is set to 500 cycles and the maximum iteration step is 0.05 Å.

2.5.2. Molecular Dynamics Simulation

Molecular dynamics simulation can give the adsorption position and adsorption energy, and further describes the interface interaction between the corrosion inhibitor and the carbon steel substrate. Two possible substrates, the Fe substrate and γ-FeOOH substrate, are considered in this paper. Metals such as steel bars or steel fibers will form a passivation film dominated by γ-FeOOH in the alkaline environment of the concrete pore liquid, and the Fe matrix will be only exposed in a few surface defects. However, such places are often the most vulnerable to attack by aggressive ions, forming pitting pits. Whether the corrosion inhibitor molecules can be adsorbed on the Fe matrix is the key to preventing pitting corrosion, and the corrosion inhibitor molecules adsorbed on the γ-FeOOH substrate can form a more complete adsorption film to further protect the internal Fe matrix. Therefore, it is necessary to study both the Fe substrate and γ-FeOOH substrate.
Figure 1 presents the crystal structures of Fe and γ-FeOOH. Fe belongs to the cubic crystal system, the space point group is IM-3M, the lattice parameters are a = b = c = 2.87 Å, α = β = γ = 90°. γ-FeOOH belongs to the orthorhombic crystal system, the space point group is CMC21, and the lattice parameters are a = 3.07 Å, b = 12.53 Å, c = 3.88 Å, α = β = γ = 90°. In the process of model building, two stable surfaces with the lowest Miller indices of crystal structures, namely, Fe (110) surface and γ-FeOOH (010) surface, were selected as exposed surfaces. Figure 2 presents the interface model of Fe and γ-FeOOH. The interface model of Fe (110) consists of 3 layers with a total of 300 Fe atoms, and the model size is 24.82 Å × 24.82 Å × 30.00 Å. The interface model of γ-FeOOH (010) consists of 8 layers with a total of 400 Fe atoms, 800 O atoms and 400 H atoms, and the model size is 38.76 Å × 30.70 Å × 38.59 Å. To improve computational efficiency, all the base atoms of the interface model are frozen.
The interface interaction between the effective corrosion inhibitor of perilla seed and the surface of carbon steel was studied by MD simulation. MD simulation adopts NVT ensemble, uses COMPASSIII force field, temperature is 298 K, total simulation time is 500 ps and time step is 1 fs. The adsorption energy ( E a d s o r p t i o n ) of effective corrosion inhibitors on the surface of carbon steel is calculated by the following formula:
E a d s o r p t i o n = E t o t a l E m e t a l n · E i n h i b i t o r
Here, E t o t a l is the total energy of the system, E m e t a l is the energy of carbon steel substrate and n · E i n h i b i t o r is the energy of n corrosion inhibitor molecules.

3. Results and Discussion

3.1. Evaluation of Corrosion Inhibition Efficiency

3.1.1. Influence of Corrosion Inhibitor Concentration on Corrosion Inhibition Efficiency

Figure 3 shows the potentiodynamic polarization curves of carbon steel electrodes in different concentrations of corrosion inhibitor solutions. Observing Figure 3, the overall form of the polarization curve has not changed, indicating that the corrosion inhibitor does not change the basic properties of the carbon steel surface. However, as a whole, as the concentration of the corrosion inhibitor increases, the polarization curve shifts to the left and up, which indicates that the corrosion inhibitor prepared by perilla seed extract effectively reduces the corrosion current and increases the corrosion potential.
According to the polarization curve in Figure 3, the corrosion potential and self-corrosion current are obtained by extrapolation method, as shown in Table 1, where the corrosion inhibition efficiency IE% is calculated by Equation (2). It can be seen from Table 1 that with the gradual increase in the corrosion inhibitor concentration in the simulated concrete pore solution, the corrosion potential of the carbon steel electrode moves in the positive direction, from −932 mV to −875 mV. At the same time, the corrosion current is constantly decreasing, from 1.11 × 10−4 A/cm2 to 1.18 × 10−5 A/cm2, and the corrosion inhibition efficiency is also increased from 65.41% of 1 g/L to 89.39% of 4 g/L.
From the above results, it can be found that the corrosion inhibitor prepared by perilla seed extract is a mixed-type corrosion inhibitor, which can inhibit the corrosion of the anode and the cathode at the same time.

3.1.2. Adsorption Behavior of Perilla Seed Corrosion Inhibitor on Carbon Steel Surface

Three classical adsorption theories are used to analyze the adsorption characteristics of the corrosion inhibitor on the surface of carbon steel [24,25,26]. The expressions are as follows:
L a n g m u i r :   C θ = 1 K a d s + C
T e m k i n :   exp ( 2 a θ ) = K a d s C
F r u m k i n :   θ 1 θ exp ( 2 a θ ) = K a d s C
In the formula, C is the concentration of corrosion inhibitor in g/L. θ is the coverage area ratio of the corrosion inhibitor. According to the similar research of K. Shalabi [27] and M. Messali [28], θ can be replaced by the corrosion inhibition efficiency IE% in Table 1 obtained by potentiodynamic polarization test. K a d s is the adsorption constant in L/g. a represents the interaction between corrosion inhibitor molecules.
Meanwhile, the adsorption free energy Δ G a d s of the corrosion inhibitor can be calculated by the following formula:
Δ G a d s = R T l n ( 1 × 10 3 K a d s )
In the formula, R is the ideal gas constant, its value is 8.314 J/mol/K. T is the absolute temperature and 285 K. 1 × 103 is the concentration of water molecules in g/L.
Figure 4 is a fitting result of three adsorption theories. According to the goodness of fit, the adsorption behavior of the green corrosion inhibitor, which prepared from perilla seed extract on the surface of carbon steel, conforms to the Langmuir adsorption theory. The corresponding free energy of adsorption is −22.70 kJ/mol. According to the similar research of M. Messali [28], the free energy greater than −20 kJ/mol is attributed to the physical adsorption between inhibitor molecules and metal surface, while the free energy less than −40 kJ/mol involves the charge sharing or transfer between inhibitor molecules and metal surface, which belongs to chemical adsorption. The free energy is between the two, which indicates that the adsorption mechanism of corrosion inhibitor molecules on metal surface combines chemical adsorption and physical adsorption. Therefore, the corrosion inhibitor developed in this paper belongs to the complex mechanism of chemical adsorption and physical adsorption.

3.2. Determination of Chemical Constituents in Perilla Seed Extract

After the potentiodynamic polarization test, it can be confirmed that the perilla seed extract contains mixed corrosion inhibitors that can inhibit the corrosion of Q235 carbon steel. In order to further explore the effective ingredients, this paper uses HPLC-MS combined detection methods to obtain the main chemical components in perilla seeds. As shown in Figure 5a, perilla seeds mainly contain three organic substances: luteolin, apigenin and α-linolenic acid, the contents of which are 21.81%, 31.95% and 20.56%, respectively. The three organics can be confirmed from the strong peaks on the rightmost side of the corresponding mass spectra in Figure 5b–d. These three strong peaks correspond to the molecular ion peaks of luteolin, apigenin and α-linolenic acid, respectively.

3.3. Changes in Functional Groups in the Surface Film

Figure 6 shows the FT-IR comparison between the corrosion inhibitor solution prepared by perilla seed extract and the surface of the carbon steel electrode. The position of each characteristic peak is marked in the figure. In total, 2930 cm−1 and 2850 cm−1 are the asymmetric stretching vibration and symmetric stretching vibration of the C-H bond, respectively [29]. Overall, 1744 cm−1 is the stretching vibration of the carbonyl group [30] and 1660 cm−1 is the stretching vibration of the C=C bond [31]. The 1450 cm−1 and the weak peak to the left are the stretching vibration of the benzene structure skeleton [32] and 1200 cm−1 is the stretching vibration of the phenolic hydroxyl group [33]. On the whole, the main characteristic peaks on the electrode surface are similar to the main characteristic peaks of the corrosion inhibitor solution, which once again shows that the effective components in the corrosion inhibitor are adsorbed on the surface of the carbon steel electrode to form a surface film, which has the effect of inhibiting electrode corrosion. At the same time, each main characteristic peak also corresponds to the functional groups of luteolin, apigenin and α-linolenic acid. Therefore, through this test, it can be basically confirmed that the effective corrosion inhibitors in perilla seeds are luteolin, apigenin and α-linolenic acid. The difference is that there are obvious carbonyl groups and phenolic hydroxyl groups on the surface of the carbon steel electrode pre-filmed in the corrosion inhibitor solution, and the presence of the halogen ion Cl causes the peak position of the carbonyl group to shift to a high wave number. At this time, luteolin and apigenin in the corrosion inhibitor solution are mainly adsorbed on the surface of carbon steel to form a film.

3.4. Effect of Effective Anti-Corrosion Ingredients on the Surface Film

After confirming that the perilla seed extract has corrosion inhibition effect and effective corrosion inhibition components, XPS method was used to further study the effect of effective corrosion inhibition components on the surface composition and chemical valence state of carbon steel electrodes. Figure 7 shows the full spectra of three electrode surfaces under different conditions. The conditions are simulated concrete pore solution (SCP), simulated concrete pore solution with NaCl (SCP + NaCl) and simulated concrete pore solution after being placed in corrosion inhibitor for two hours (pre-film). It can be found from the figure that C and O elements are obviously present on the surfaces of the three electrodes. For Na and Cl, these two elements are almost absent on the electrode surface of SCP. However, the Cl element under the other two conditions is not very different, but the electrode surface with the corrosion inhibitor pre-film has obvious adsorption to Na and Ca, which is related to the strong electronegativity of the corrosion inhibitor.
Figure 8a–c show the fine spectrums and peak fitting of Fe element under three different conditions. Comparing Figure 8a,b, the electrode surfaces in SCP and SCP + NaCl have two valence states of Fe2+ (709.6 eV [34]) and Fe3+ (710.8 eV [34]). However, due to the presence of Cl, the relative content of Fe3+ on the electrode surface increases, which indicates that the presence of Cl destroys the oxide film formed on the electrode surface in an alkaline environment and accelerates the corrosion of the electrode surface. Observing Figure 8c, the relative content of Fe3+ on the electrode surface was significantly reduced after adding the perilla seed corrosion inhibitor and pre-filming.
Figure 8d presents the fine spectrum and sub-peak fitting of element C. Observing Figure 8d, after adding the perilla seed corrosion inhibitor and pre-filming, C1s (284.8 eV [35]), C-O-C (286.5 eV [36]) and C=O (288.3 eV [37]) appeared on the electrode surface. This indicated that luteolin and apigenin were adsorbed on the carbon steel surface.

3.5. Analysis of Quantum Chemistry Calculation

3.5.1. Frontier Orbit Distribution

Green corrosion inhibitor prepared from perilla seed extract belongs to organic corrosion inhibitor, and its corrosion inhibition effect is closely related to molecular structure and electronic structure [38]. At present, quantum chemical calculation is often used to study the structure–activity relationship of organic corrosion inhibitors. According to the frontier orbital theory [39], the distribution of the highest and lowest occupied orbitals of organic matter and the relative size of energy gap determine whether organic matter can undergo adsorption reaction.
Figure 9, Figure 10 and Figure 11 show the molecular structure, HOMO and LUMO distribution of luteolin, apigenin and α-linolenic acid, respectively. Looking at Figure 10a,b and Figure 11a,b, it can be found that the orbital distributions of luteolin and apigenin are similar. The charge density of HOMO is mainly delocalized around the O atom of carbonyl group, and that of LUMO is mainly delocalized around the unsaturated bond of C ring of flavonoids. Looking at Figure 10c and Figure 11c, it can be found that the charge density of HOMO in α-linolenic acid is mainly delocalized around unsaturated double bonds, and that of LUMO is mainly delocalized in carboxylic acid groups.
Table 2 shows the HOMO, LUMO and energy gap values of luteolin, apigenin and α-linolenic acid. The charge density of HOMO and LUMO of luteolin and apigenin is similar, and the energy gap values are 2.571 eV and 2.650 eV, respectively. Compared with α-linolenic acid, the HOMO charge density of luteolin and apigenin is smaller, which means that their electron-donating ability is stronger. The energy gap is lower than that of α-linolenic acid (4.447 eV), the molecular stability is worse, and it is easier to participate in the adsorption reaction on the electrode surface.

3.5.2. Local Reactivity

Figure 12 shows the atomic codes of luteolin, apigenin and α-linolenic acid, which correspond to the atomic codes of Fukui functions recorded in Table 3, Table 4 and Table 5. By studying the frontier orbital distribution of three corrosion inhibitors, the possible adsorption active sites were preliminarily determined. In order to further determine the specific adsorption active sites, the Fukui function of local reactivity should be used for analysis. Table 3, Table 4 and Table 5 show the Fukui functions of three corrosion inhibitor molecules, in which the larger the fi+ is, the more the atom is the nucleophilic reaction center, and the larger the fi is, the more the atom is the electrophilic reaction center. It is found that the distribution of nucleophilic/electrophilic reaction centers is basically the same as that of the frontier orbit. By analyzing the oxygen coding of nucleophilic/electrophilic reaction center, it is found that the nucleophilic/electrophilic ability of carbonyl oxygen of luteolin and apigenin is the strongest, and that of double bond oxygen of α-linolenic acid is the strongest.

3.6. Analysis of Molecular Dynamics Simulation

Figure 13 and Figure 14 show the adsorption configurations of luteolin and apigenin on Fe (110) surface in equilibrium, and the two organic molecules are parallel to the substrate surface. Figure 15 shows the adsorption configuration of α-linolenic acid on the surface of Fe (110) in equilibrium. The carboxylic acid group of α-linolenic acid is adsorbed on the surface of the substrate, keeping a vertical relationship with the surface. Figure 16 and Figure 17 show the adsorption configurations of luteolin and apigenin on γ-FeOOH (010) surface equilibrium, and the two organic molecules are still parallel to the substrate surface. Figure 18 shows the adsorption configuration of α-linolenic acid when γ-FeOOH (010) surface is in equilibrium. The carboxylic acid groups of α-linolenic acid are also adsorbed on the substrate surface in parallel.
According to the adsorption energies in Table 6, the adsorption energies of three organic molecules on the surface of Fe (110) and γ-FeOOH (010) are all negative, indicating that the adsorption is spontaneous, but the adsorption energies of inhibitor molecules on γ-FeOOH (010) are obviously smaller. On the surface of Fe (110), the adsorption energies of luteolin and apigenin are similar, −144.175 kJ/mol and −141.949 kJ/mol, respectively. The adsorption energy of α-linolenic acid is smaller than the former two, only −133.046 kJ/mol. This is consistent with the law of energy gap value. Combined with the above-mentioned FT-IR and XPS results, the adsorption film mainly composed of luteolin and apigenin was formed on the surface of carbon steel electrode pre-coated in the corrosion inhibitor solution prepared in this paper. The adsorption mechanism is that carbonyl O atoms in luteolin and apigenin hybridize with the 3 d empty orbit of Fe.

4. Conclusions

According to the potential corrosion inhibition effect of perilla seed extract, this paper obtained the following conclusions by means of potentiodynamic polarization curve method, HPLC-MS, FT-IR, XPS and computer technology such as quantum chemical calculation and molecular dynamics simulation:
(1)
The corrosion inhibitor solution prepared by perilla seed extract belongs to mixed corrosion inhibitor, its adsorption behavior accords with Langmuir adsorption theory and its adsorption free energy is −22.70 kJ/mol.
(2)
In the corrosion inhibitor solution, luteolin and apigenin are mainly adsorbed parallel to the surface of carbon steel to form a film. The adsorption mechanism is that carbonyl O atoms in luteolin and apigenin hybridize with the 3 d empty orbit of Fe.
(3)
From the point of view of quantum chemistry, the smaller the HOMO value and the energy gap value, the better the adsorption of the corrosion inhibitor on the surface of carbon steel. From the point of view of molecular dynamics simulation, the greater the absolute value of adsorption energy, the better the adsorption of the corrosion inhibitor on carbon steel surface.
The follow-up research work can also test and evaluate the practical application of this new corrosion inhibitor and consider its comprehensive influence on concrete performance and reasonable compounding with other additives.

Author Contributions

Y.L.: Conceptualization, Methodology, Investigation, Formal Analysis, Writing—Original Draft, Writing—Review and Editing. W.X.: Methodology, Investigation, Formal Analysis, Writing—Original Draft. J.L.: Methodology, Writing—Review. S.Q.: Supervision, Funding Acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

This work was financially supported by Fundamental Research Funds for the Central Universities (B210203008) and National Natural Science Foundation of China (No. 51679074, No. 52079049).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Koushkbaghi, M.; Kazemi, M.J.; Mosavi, H.; Mohseni, E. Acid resistance and durability properties of steel fiber-reinforced concrete incorporating rice husk ash and recycled aggregate. Constr. Build. Mater. 2019, 202, 266–275. [Google Scholar] [CrossRef]
  2. Huang, B.-T.; Yu, J.; Wu, J.-Q.; Dai, J.-G.; Leung, C.K. Seawater sea-sand Engineered Cementitious Composites (SS-ECC) for marine and coastal applications. Compos. Commun. 2020, 20, 100353. [Google Scholar] [CrossRef]
  3. Yeau, K.Y.; Kim, E.K. An experimental study on corrosion resistance of concrete with ground granulate blast-furnace slag. Cem. Concr. Res. 2005, 35, 1391–1399. [Google Scholar] [CrossRef]
  4. Jin, Z.; Chang, H.; Du, F.; Zhao, T.; Jiang, Y.; Chen, Y. Influence of SAP on the chloride penetration and corrosion behavior of steel bar in concrete. Corros. Sci. 2020, 171, 108714. [Google Scholar] [CrossRef]
  5. Coronelli, D.; Gambarova, P. Structural assessment of corroded reinforced concrete beams: Modeling guidelines. J. Struct. Eng. 2004, 130, 1214–1224. [Google Scholar] [CrossRef]
  6. Goni, K.; Mazumder, M.A. Green corrosion inhibitors. Corros. Inhib. 2019, 1–18. [Google Scholar]
  7. Cui, L.; Hang, M.; Huang, H.; Gao, X. Experimental study on multi-component corrosion inhibitor for steel bar in chloride environment. Constr. Build. Mater. 2021, 313, 125533. [Google Scholar] [CrossRef]
  8. Abdulrahman, A.; Ismail, M.; Hussain, M.S. Corrosion inhibitors for steel reinforcement in concrete: A review. Sci. Res. Essays 2011, 6, 4152–4162. [Google Scholar] [CrossRef] [Green Version]
  9. Dariva, C.G.; Galio, A.F. Corrosion inhibitors–principles, mechanisms and applications. Dev. Corros. Prot. 2014, 16, 365–378. [Google Scholar]
  10. Singh, A.; Quraishi, M.A. Acidizing corrosion inhibitors: A review. J. Mater. Environ. Sci 2015, 6, 224–235. [Google Scholar]
  11. Wu, Y.; Guo, L.; Tan, B.; Li, W.; Zhang, F.; Zheng, X. 5-Mercapto-1-phenyltetrazole as a high-efficiency corrosion inhibitor for Q235 steel in acidic environment. J. Mol. Liq. 2021, 325, 115132. [Google Scholar] [CrossRef]
  12. Han, C.; Li, W.; Liu, H.K.; Dou, S.; Wang, J. Principals and strategies for constructing a highly reversible zinc metal anode in aqueous batteries. Nano Energy 2020, 74, 104880. [Google Scholar] [CrossRef]
  13. Li, J.-H.; Zhao, B.; Hu, J.; Zhang, H.; Dong, S.-G.; Du, R.-G.; Lin, C.-J. Corrosion inhibition effect of D-sodium gluconate on reinforcing steel in chloride-contaminated simulated concrete pore solution. Int. J. Electrochem. Sci. 2015, 10, 956–968. [Google Scholar]
  14. Tommaselli, M.; Mariano, N.; Kuri, S. Effectiveness of corrosion inhibitors in saturated calcium hydroxide solutions acidified by acid rain components. Constr. Build. Mater. 2009, 23, 328–333. [Google Scholar] [CrossRef]
  15. Guo, L.; Obot, I.B.; Zheng, X.; Shen, X.; Qiang, Y.; Kaya, S.; Kaya, C. Theoretical insight into an empirical rule about organic corrosion inhibitors containing nitrogen, oxygen, and sulfur atoms. Appl. Surf. Sci. 2017, 406, 301–306. [Google Scholar] [CrossRef]
  16. Salleh, S.Z.; Yusoff, A.H.; Zakaria, S.K.; Taib, M.A.A.; Seman, A.A.; Masri, M.N.; Mohamad, M.; Mamat, S.; Sobri, S.A.; Ali, A. Plant extracts as green corrosion inhibitor for ferrous metal alloys: A review. J. Clean. Prod. 2021, 304, 127030. [Google Scholar] [CrossRef]
  17. Ramezanzadeh, M.; Bahlakeh, G.; Ramezanzadeh, B. Probing molecular adsorption/interactions and anti-corrosion performance of poppy extract in acidic environments. J. Mol. Liq. 2020, 304, 112750. [Google Scholar]
  18. Lu, Y.; Feng, H.; Xu, H. Studying Corrosion and Adhesion Performance of a Phytic Acid Based Conversion Coating Post-Treated with Garlic Extract on Q235 Steel. Int. J. Electrochem. Sci. 2021, 16, 210448. [Google Scholar] [CrossRef]
  19. Cheng-an, J. Research on Anti-corrosion Action of Pepper Extracts. J. Anhui Agric. Sci. 2012, 40, 126–127. [Google Scholar]
  20. Pradipta, I.; Kong, D.; Tan, J.B.L. Natural organic antioxidants from green tea inhibit corrosion of steel reinforcing bars embedded in mortar. Constr. Build. Mater. 2019, 227, 117058. [Google Scholar] [CrossRef]
  21. Bui, H.T.; Dang, T.-D.; Le, H.T.; Hoang, T.T. Comparative study on corrosion inhibition of vietnam orange peel essential oil with urotropine and insight of corrosion inhibition mechanism for mild steel in hydrochloric solution. J. Electrochem. Sci. Technol. 2019, 10, 69–81. [Google Scholar]
  22. Elabbasy, H.M.; Zidan, S.M.; El-Aziz, A.F.S. Inhibitive behavior of Ambrosia Maritima extract as an eco-friendly corrosion inhibitor for carbon steel in 1M HCI. Zaštita Mater. 2019, 60, 129–146. [Google Scholar] [CrossRef] [Green Version]
  23. Salhi, A.; Bouyanzer, A.; Chetouani, A.; El Barkany, S.; Amhamdi, H.; Hamdani, I.; Zarrouk, A.; Hammouti, B.; Desjobert, J.; Costa, J. Chemical composition of essential oil and antioxidant and anti-corrosion activity of extract and essential oil of Pennyroyal Mint (Mentha pulegium, MP). Moroc. J. Chem. 2017, 5, 59–71. [Google Scholar]
  24. Czepirski, L.; Balys, M.R.; Komorowska-Czepirska, E. Some generalization of Langmuir adsorption isotherm. Internet J. Chem. 2000, 3, 1099–8292. [Google Scholar]
  25. Vigdorowitsch, M.; Tsygankova, L.E.; Bernatsky, P.N. To the mathematical theory of the temkin adsorption model. J. Appl. Solut. Chem. Modeling 2020, 9, 6–12. [Google Scholar] [CrossRef]
  26. Kolev, V.; Danov, K.; Kralchevsky, P.; Broze, G.; Mehreteab, A. Comparison of the van der Waals and Frumkin adsorption isotherms for sodium dodecyl sulfate at various salt concentrations. Langmuir 2002, 18, 9106–9109. [Google Scholar] [CrossRef]
  27. Shalabi, K.; Nazeer, A.A. Ethoxylates nonionic surfactants as promising environmentally safe inhibitors for corrosion protection of reinforcing steel in 3.5% NaCl saturated with Ca(OH)2 solution. J. Mol. Struct. 2019, 1195, 863–876. [Google Scholar] [CrossRef]
  28. Messali, M.; Larouj, M.; Lgaz, H.; Rezki, N.; Al-Blewi, F.; Aouad, M.; Chaouiki, A.; Salghi, R.; Chung, I.-M. A new schiff base derivative as an effective corrosion inhibitor for mild steel in acidic media: Experimental and computer simulations studies. J. Mol. Struct. 2018, 1168, 39–48. [Google Scholar] [CrossRef]
  29. Wei, M.; Shi, S.; Wang, J.; Li, Y.; Duan, X. Studies on the intercalation of naproxen into layered double hydroxide and its thermal decomposition by in situ FT-IR and in situ HT-XRD. J. Solid State Chem. 2004, 177, 2534–2541. [Google Scholar] [CrossRef]
  30. Kagarise, R. Relation between the electronegativities of adjacent substitutents and the stretching frequency of the carbonyl group. J. Am. Chem. Soc. 1955, 77, 1377–1379. [Google Scholar] [CrossRef]
  31. Ryu, S.R.; Bae, W.M.; Hong, W.J.; Ihn, K.J.; Jung, Y.M. Characterization of chain transfer reaction during radical polymerization of silver nanocomposite polyvinylpyrrolidone by using 2D hetero-spectral IR/NMR correlation spectroscopy. Vib. Spectrosc. 2012, 60, 168–172. [Google Scholar] [CrossRef]
  32. Bilba, K.; Ouensanga, A. Fourier transform infrared spectroscopic study of thermal degradation of sugar cane bagasse. J. Anal. Appl. Pyrolysis 1996, 38, 61–73. [Google Scholar] [CrossRef]
  33. Pisareva, A.; Shilov, G.; Karelin, A.; Dobrovolsky, Y.A. The structure and properties of phenol-2, 4-disulfonic acid dihydrate. Russ. J. Phys. Chem. A Focus Chem. 2008, 82, 355–363. [Google Scholar] [CrossRef]
  34. Yamashita, T.; Hayes, P. Analysis of XPS spectra of Fe2+ and Fe3+ ions in oxide materials. Appl. Surf. Sci. 2008, 254, 2441–2449. [Google Scholar] [CrossRef]
  35. Lee, W.; Lee, J.; Reucroft, P. XPS study of carbon fiber surfaces treated by thermal oxidation in a gas mixture of O2/(O2 + N2). Appl. Surf. Sci. 2001, 171, 136–142. [Google Scholar] [CrossRef]
  36. López, G.P.; Castner, D.G.; Ratner, B.D. XPS O 1s binding energies for polymers containing hydroxyl, ether, ketone and ester groups. Surf. Interface Anal. 1991, 17, 267–272. [Google Scholar] [CrossRef]
  37. Li, S.; Shen, Y.; Xie, A.; Yu, X.; Qiu, L.; Zhang, L.; Zhang, Q. Green synthesis of silver nanoparticles using Capsicum annuum L. extract. Green Chem. 2007, 9, 852–858. [Google Scholar] [CrossRef]
  38. Kaya, S.; Tüzün, B.; Kaya, C.; Obot, I.B. Determination of corrosion inhibition effects of amino acids: Quantum chemical and molecular dynamic simulation study. J. Taiwan Inst. Chem. Eng. 2016, 58, 528–535. [Google Scholar] [CrossRef]
  39. Rauk, A. Orbital Interaction Theory of Organic Chemistry; John Wiley & Sons: Hoboken, NJ, USA, 2004. [Google Scholar]
Figure 1. Crystal structures: (a) Fe and (b) γ-FeOOH.
Figure 1. Crystal structures: (a) Fe and (b) γ-FeOOH.
Materials 15 05394 g001
Figure 2. Interface models: (a) Fe and (b) γ-FeOOH.
Figure 2. Interface models: (a) Fe and (b) γ-FeOOH.
Materials 15 05394 g002
Figure 3. Potentiodynamic polarization curves of carbon steel electrodes in different concentrations of corrosion inhibitor solutions.
Figure 3. Potentiodynamic polarization curves of carbon steel electrodes in different concentrations of corrosion inhibitor solutions.
Materials 15 05394 g003
Figure 4. Fitting results of three adsorption theories: (a) Langmuir, (b) Temkin and (c) Frumkin.
Figure 4. Fitting results of three adsorption theories: (a) Langmuir, (b) Temkin and (c) Frumkin.
Materials 15 05394 g004
Figure 5. Perilla seed extract’s (a) chromatography and mass spectrometry: (b) luteolin, (c) apigenin and (d) α-linolenic acid.
Figure 5. Perilla seed extract’s (a) chromatography and mass spectrometry: (b) luteolin, (c) apigenin and (d) α-linolenic acid.
Materials 15 05394 g005
Figure 6. The spectrums of (a) the corrosion inhibitor solution (4 g/L) and (b) the surface of the carbon steel electrode in the corrosion inhibitor solution (4 g/L).
Figure 6. The spectrums of (a) the corrosion inhibitor solution (4 g/L) and (b) the surface of the carbon steel electrode in the corrosion inhibitor solution (4 g/L).
Materials 15 05394 g006
Figure 7. XPS full spectrums of carbon steel electrode surface in different environments.
Figure 7. XPS full spectrums of carbon steel electrode surface in different environments.
Materials 15 05394 g007
Figure 8. Fine spectra of Fe on the surface of carbon steel electrodes in different environments. (a) Simulated concrete pore solution, (b) simulated concrete pore solution mixed with 3% NaCl, (c) corrosion inhibitor solution and C on the surface of carbon steel electrodes in different environments. (d) Corrosion inhibitor solution.
Figure 8. Fine spectra of Fe on the surface of carbon steel electrodes in different environments. (a) Simulated concrete pore solution, (b) simulated concrete pore solution mixed with 3% NaCl, (c) corrosion inhibitor solution and C on the surface of carbon steel electrodes in different environments. (d) Corrosion inhibitor solution.
Materials 15 05394 g008
Figure 9. The optimized geometric configurations: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Figure 9. The optimized geometric configurations: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Materials 15 05394 g009
Figure 10. HOMO: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Figure 10. HOMO: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Materials 15 05394 g010
Figure 11. LUMO: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Figure 11. LUMO: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Materials 15 05394 g011
Figure 12. The atomic coding: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Figure 12. The atomic coding: (a) luteolin, (b) apigenin and (c) α-linolenic acid.
Materials 15 05394 g012
Figure 13. The adsorption configuration of luteolin molecule on Fe (110) surface.
Figure 13. The adsorption configuration of luteolin molecule on Fe (110) surface.
Materials 15 05394 g013
Figure 14. The adsorption configuration of apigenin molecule on Fe (110) surface.
Figure 14. The adsorption configuration of apigenin molecule on Fe (110) surface.
Materials 15 05394 g014
Figure 15. The adsorption configuration of α-linolenic acid molecule on Fe (110) surface.
Figure 15. The adsorption configuration of α-linolenic acid molecule on Fe (110) surface.
Materials 15 05394 g015
Figure 16. The adsorption configuration of luteolin molecule on γ-FeOOH (010) surface.
Figure 16. The adsorption configuration of luteolin molecule on γ-FeOOH (010) surface.
Materials 15 05394 g016
Figure 17. The adsorption configuration of apigenin molecule on γ-FeOOH (010) surface.
Figure 17. The adsorption configuration of apigenin molecule on γ-FeOOH (010) surface.
Materials 15 05394 g017
Figure 18. The adsorption configuration of α-linolenic acid molecule on γ-FeOOH (010) surface.
Figure 18. The adsorption configuration of α-linolenic acid molecule on γ-FeOOH (010) surface.
Materials 15 05394 g018
Table 1. Analysis results of potentiodynamic polarization curves of carbon steel electrodes in different concentrations of corrosion inhibitor solutions.
Table 1. Analysis results of potentiodynamic polarization curves of carbon steel electrodes in different concentrations of corrosion inhibitor solutions.
Inhibitor Concentration (g/L)Ecorr (mV)icorr (A/cm2)IE%
0−9311.11 × 10−4-
1−9223.84 × 10−565.41
2−9003.16 × 10−571.49
3−8841.52 × 10−586.27
4−8751.18 × 10−589.39
Table 2. Chemical calculation results of corrosion inhibitor components.
Table 2. Chemical calculation results of corrosion inhibitor components.
ComponentEHOMO (eV)ELUMO (eV)ΔE (eV)
luteolin−5.045−2.4742.571
apigenin−5.429−2.7792.650
α-linolenic acid−5.505−1.0584.447
Table 3. Fukui function of luteolin.
Table 3. Fukui function of luteolin.
Atomfi+ fiAtomfi+ fi
C10.0330.031O70.0330.037
C20.0260.011O80.0240.015
C30.0080.019O90.0270.034
C40.0070.019O130.0920.280
C50.0230.028O200.0280.026
C60.0300.031O210.0520.041
C100.0700.045H220.0230.025
C110.0550.024H230.0160.022
C120.0570.061H240.0150.018
C140.0270.005H250.0200.026
C150.0430.016H260.0260.022
C160.0270.022H270.0220.010
C170.0560.034H280.0260.019
C180.0350.023H290.0210.009
C190.0390.019H300.0160.012
H310.0210.016
Table 4. Fukui function of apigenin.
Table 4. Fukui function of apigenin.
Atomfi+ fiAtomfi+ fi
C10.0320.053O70.0400.104
C20.0310.036O80.0340.027
C30.0240.104O90.0340.046
C40.0090.026O200.0500.039
C50.0120.037O210.0790.043
C60.0250.046H220.0240.033
C100.0580.017H230.0180.040
C110.0510.056H240.0140.023
C120.0740.029H250.0180.025
C140.0240.006H260.0260.027
C150.0410.018H270.0210.010
C160.0340.024H280.0260.018
C170.0560.031H290.0260.018
C180.0350.026H300.0220.007
Table 5. Fukui function of α-linolenic acid.
Table 5. Fukui function of α-linolenic acid.
Atomfi+ fiAtomfi+ fi
O10.0960.006H260.0080.000
C20.1770.001H270.0080.000
O30.1790.006H280.0070.005
C40.0330.001H290.0070.005
C50.0050.002H300.0020.000
C60.0060.001H310.0020.000
C70.0050.003H320.0050.010
C80.0020.002H330.0050.010
C90.0030.005H340.0010.012
C100.0020.008H350.0010.012
C110.0080.079H360.0070.037
C120.0080.047H370.0080.027
C130.0040.021H380.0020.036
C140.0240.093H390.0030.036
C150.0190.094H400.0140.042
C160.0090.021H410.0130.042
C170.0300.042H420.0120.036
C180.0340.073H430.0120.035
C190.0050.009H440.0160.025
C200.0040.009H450.0170.034
H210.0450.001H460.0050.014
H220.0520.000H470.0050.013
H230.0530.000H480.0060.012
H240.0120.003H490.0060.012
H250.0110.003H500.0030.015
Table 6. Adsorption energy of corrosion inhibitor molecules.
Table 6. Adsorption energy of corrosion inhibitor molecules.
Adsorption SurfaceLuteolin (kJ/mol)Apigenin (kJ/mol)α-Linolenic Acid (kJ/mol)
Fe (110)−144.175−141.949−133.046
γ-FeOOH (010)−33.293−33.608−27.304
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Li, Y.; Xu, W.; Lai, J.; Qiang, S. Inhibition Effect and Mechanism Explanation of Perilla Seed Extract as a Green Corrosion Inhibitor on Q235 Carbon Steel. Materials 2022, 15, 5394. https://doi.org/10.3390/ma15155394

AMA Style

Li Y, Xu W, Lai J, Qiang S. Inhibition Effect and Mechanism Explanation of Perilla Seed Extract as a Green Corrosion Inhibitor on Q235 Carbon Steel. Materials. 2022; 15(15):5394. https://doi.org/10.3390/ma15155394

Chicago/Turabian Style

Li, Yu, Wenqiang Xu, Jiayu Lai, and Sheng Qiang. 2022. "Inhibition Effect and Mechanism Explanation of Perilla Seed Extract as a Green Corrosion Inhibitor on Q235 Carbon Steel" Materials 15, no. 15: 5394. https://doi.org/10.3390/ma15155394

APA Style

Li, Y., Xu, W., Lai, J., & Qiang, S. (2022). Inhibition Effect and Mechanism Explanation of Perilla Seed Extract as a Green Corrosion Inhibitor on Q235 Carbon Steel. Materials, 15(15), 5394. https://doi.org/10.3390/ma15155394

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop